Retail: Product Catalog Cleanup with Claude Code: Human Review Queue
A production playbook for product catalog cleanup in retail operations using Claude Code: human review queue, run-scoped inputs, logs, typed results, and artifacts.
Audience: Retail and marketplace catalog teams
The problem
Retail and marketplace catalog teams need product catalog cleanup to run repeatedly against product feeds, images, descriptions, taxonomy rules, and exception lists. In retail operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Split the product catalog cleanup result into automatable fields and review-only exceptions, then send low-confidence cases to a human queue with evidence artifacts attached.
Tradeoffs and failure modes
Human review slows a subset of runs, but it lets the workflow ship before every edge case is fully automated. For product catalog cleanup, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Review handoff
review_status: needs_review | approved | rejected
review_reason: string
source_evidence: artifact_url[]
agent: Claude Code
workflow: retail-product-catalog-cleanup
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